SMuK 2023 – wissenschaftliches Programm

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HK: Fachverband Physik der Hadronen und Kerne

HK 74: Poster

HK 74.30: Poster

Donnerstag, 23. März 2023, 17:30–19:00, HSZ EG

Machine Learning Approach to the Sexaquark Search in ALICE — •Sven Hoppner for the ALICE Germany collaboration — Physikalisches Institut, Heidelberg, Germany

The sexaquark was proposed by G. Farrar in 2017 to be a compact, stable and neutral particle consisting of six quarks with a quark content of uuddss. Its charge neutrality, stability, and expected production rate in the QCD phase transition in the early universe make it an interesting dark matter candidate within the standard model, while its similarity to the neutron in experimental settings could explain why it has not been discovered so far. A new search for the sexaquark S in heavy- ion collisions at the Large Hadron Collider (LHC) using the ALICE detector started in 2022 which will look for characteristic decay chains in the annihilation of the anti-S with the detector material. The search benefits from the excellent tracking and particle identification (PID) capabilities of ALICE, especially for low momenta. Based on Monte Carlo simulations it is investigated how the sexaquark search with ALICE can be improved with a decision tree based machine learning approach using XGBoost.